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Computational Linguistics and Natural Language Processing
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This Special Issue presents selected papers on various topics of computational linguistics and natural language processing from leading international experts. The topics range from sentiment analysis, linguistic profiling, and higher-order logical representation and methods to the decipherment of ancient scripts. The linguistic-profiling methods described in this Special Issue enable one to identify the salient features of poems and novels, classify various types of fiction as fables, myths, mystery, romance, thriller, legends, or science fiction, distinguish between human-written or machine-generated texts, and diagnose neuropsychiatric diseases. The Lindenmayer system and other higher-order logical representations have been used to describe complex linguistic phenomena and better communicate with chatbots. Finally, the decipherment of scripts has been considered in three papers, including one which investigates the Minoan Linear A script.
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Keywords
- Altai inscription
- app reviewers
- appraisal theory framework
- artificial intelligence
- authorship attribution
- automatic lexical and semantic sentiment analysis
- automatic poetic analysis
- BERT
- ChatGPT
- Computational linguistics
- computing irony
- cryptanalysis
- decipherment
- deep learning
- Dementia
- Depression
- error correction
- genetic algorithm
- genres
- grammatical inference
- Hallucinations
- Hindi language
- Inscription
- knowledge-based
- L-system
- language decipherment
- large language models
- LDA
- Linear A
- linguistic markers
- linguistic profiling
- logical semantics
- Machine learning
- machine-generated text detection
- Minoan
- n/a
- Natural Language Processing
- neuropsychiatric disorders
- NLP
- Old Hungarian Runic script
- Old Hungarian script
- Orkhon script
- phonetic and phonological analysis
- predicate logic
- sentimental analysis
- sign
- similarity matrix
- Sound–Sense matching algorithm
- specialized NLP system for poetry
- stylometry
- subgenres
- supervised
- tamga
- text
- text generation
- thema EDItEUR::U Computing and Information Technology
- thema EDItEUR::U Computing and Information Technology::UY Computer science
- Translation
- Universal Dependencies
- unsupervised
- visualization of linguistic and poetic content
- word sense disambiguation
Links
DOI: 10.3390/books978-3-7258-1370-4Editions